The DataLead

by Datalore

Hi there!

When Sarita joined her fintech company as a lead data analyst two years ago, she was tasked with setting up reliable BI dashboards for internal stakeholders.

Two years later, with essential dashboards up and running, Sarita’s team started to receive non-conventional requests for research projects from product managers, the marketing team, and regional sales leads.

The requests included answering such questions as: What is our potential sales growth if we change the subscription price from £8.99 to £9.99? Has our recent marketing campaign had any indirect influence on customer churn?

Sarita and her manager both agreed that implementing these kinds of on-demand research projects could contribute to her promotion prospects. Challenge accepted.

Making Python and Jupyter notebooks the technologies of choice was a straightforward decision and one that followed industry best practices. Luckily, most of Sarita’s team members already had Python in their stack. However, she did have to ensure that everyone on her team was aware of the gold standard method for communicating their insights, also known as…

Data storytelling… a buzzword that was all the rage before the big AI avalanche. Still, to her mind, there’s never been a better time for Sarita’s team to adopt these best practices. For now, AI can wait!

Sarita finds a whitepaper on 5 Ways to Make Data Storytelling More Robust. Take a look at it for yourself, too!

Download the whitepaper

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The DataLead

by Datalore

Hi there!

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